Cargando…

The relationship of oral health literacy with oral health-related quality of life in a multi-racial sample of low-income female caregivers

BACKGROUND: To investigate the association between oral health literacy (OHL) and oral health-related quality of life (OHRQoL) and explore the racial differences therein among a low-income community-based group of female WIC participants. METHODS: Participants (N = 1,405) enrolled in the Carolina Or...

Descripción completa

Detalles Bibliográficos
Autores principales: Divaris, Kimon, Lee, Jessica Y, Baker, A Diane, Vann, William F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3248838/
https://www.ncbi.nlm.nih.gov/pubmed/22132898
http://dx.doi.org/10.1186/1477-7525-9-108
_version_ 1782220275043008512
author Divaris, Kimon
Lee, Jessica Y
Baker, A Diane
Vann, William F
author_facet Divaris, Kimon
Lee, Jessica Y
Baker, A Diane
Vann, William F
author_sort Divaris, Kimon
collection PubMed
description BACKGROUND: To investigate the association between oral health literacy (OHL) and oral health-related quality of life (OHRQoL) and explore the racial differences therein among a low-income community-based group of female WIC participants. METHODS: Participants (N = 1,405) enrolled in the Carolina Oral Health Literacy (COHL) study completed the short form of the Oral Health Impact Profile Index (OHIP-14, a measure of OHRQoL) and REALD-30 (a word recognition literacy test). Socio-demographic and self-reported dental attendance data were collected via structured interviews. Severity (cumulative OHIP-14 score) and extent of impact (number of items reported fairly/very often) scores were calculated as measures of OHRQoL. OHL was assessed by the cumulative REALD-30 score. The association of OHL with OHRQoL was examined using descriptive and visual methods, and was quantified using Spearman's rho and zero-inflated negative binomial modeling. RESULTS: The study group included a substantial number of African Americans (AA = 41%) and American Indians (AI = 20%). The sample majority had a high school education or less and a mean age of 26.6 years. One-third of the participants reported at least one oral health impact. The OHIP-14 mean severity and extent scores were 10.6 [95% confidence limits (CL) = 10.0, 11.2] and 1.35 (95% CL = 1.21, 1.50), respectively. OHL scores were distributed normally with mean (standard deviation, SD) REALD-30 of 15.8 (5.3). OHL was weakly associated with OHRQoL: prevalence rho = -0.14 (95% CL = -0.20, -0.08); extent rho = -0.14 (95% CL = -0.19, -0.09); severity rho = -0.10 (95% CL = -0.16, -0.05). "Low" OHL (defined as < 13 REALD-30 score) was associated with worse OHRQoL, with increases in the prevalence of OHIP-14 impacts ranging from 11% for severity to 34% for extent. The inverse association of OHL with OHIP-14 impacts persisted in multivariate analysis: Problem Rate Ratio (PRR) = 0.91 (95% CL = 0.86, 0.98) for one SD change in OHL. Stratification by race revealed effect-measure modification: Whites--PRR = 1.01 (95% CL = 0.91, 1.11); AA--PRR = 0.86 (95% CL = 0.77, 0.96). CONCLUSIONS: Although the inverse association between OHL and OHRQoL across the entire sample was weak, subjects in the "low" OHL group reported significantly more OHRQoL impacts versus those with higher literacy. Our findings indicate that the association between OHL and OHRQoL may be modified by race.
format Online
Article
Text
id pubmed-3248838
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-32488382011-12-31 The relationship of oral health literacy with oral health-related quality of life in a multi-racial sample of low-income female caregivers Divaris, Kimon Lee, Jessica Y Baker, A Diane Vann, William F Health Qual Life Outcomes Research BACKGROUND: To investigate the association between oral health literacy (OHL) and oral health-related quality of life (OHRQoL) and explore the racial differences therein among a low-income community-based group of female WIC participants. METHODS: Participants (N = 1,405) enrolled in the Carolina Oral Health Literacy (COHL) study completed the short form of the Oral Health Impact Profile Index (OHIP-14, a measure of OHRQoL) and REALD-30 (a word recognition literacy test). Socio-demographic and self-reported dental attendance data were collected via structured interviews. Severity (cumulative OHIP-14 score) and extent of impact (number of items reported fairly/very often) scores were calculated as measures of OHRQoL. OHL was assessed by the cumulative REALD-30 score. The association of OHL with OHRQoL was examined using descriptive and visual methods, and was quantified using Spearman's rho and zero-inflated negative binomial modeling. RESULTS: The study group included a substantial number of African Americans (AA = 41%) and American Indians (AI = 20%). The sample majority had a high school education or less and a mean age of 26.6 years. One-third of the participants reported at least one oral health impact. The OHIP-14 mean severity and extent scores were 10.6 [95% confidence limits (CL) = 10.0, 11.2] and 1.35 (95% CL = 1.21, 1.50), respectively. OHL scores were distributed normally with mean (standard deviation, SD) REALD-30 of 15.8 (5.3). OHL was weakly associated with OHRQoL: prevalence rho = -0.14 (95% CL = -0.20, -0.08); extent rho = -0.14 (95% CL = -0.19, -0.09); severity rho = -0.10 (95% CL = -0.16, -0.05). "Low" OHL (defined as < 13 REALD-30 score) was associated with worse OHRQoL, with increases in the prevalence of OHIP-14 impacts ranging from 11% for severity to 34% for extent. The inverse association of OHL with OHIP-14 impacts persisted in multivariate analysis: Problem Rate Ratio (PRR) = 0.91 (95% CL = 0.86, 0.98) for one SD change in OHL. Stratification by race revealed effect-measure modification: Whites--PRR = 1.01 (95% CL = 0.91, 1.11); AA--PRR = 0.86 (95% CL = 0.77, 0.96). CONCLUSIONS: Although the inverse association between OHL and OHRQoL across the entire sample was weak, subjects in the "low" OHL group reported significantly more OHRQoL impacts versus those with higher literacy. Our findings indicate that the association between OHL and OHRQoL may be modified by race. BioMed Central 2011-12-01 /pmc/articles/PMC3248838/ /pubmed/22132898 http://dx.doi.org/10.1186/1477-7525-9-108 Text en Copyright ©2011 Divaris et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Divaris, Kimon
Lee, Jessica Y
Baker, A Diane
Vann, William F
The relationship of oral health literacy with oral health-related quality of life in a multi-racial sample of low-income female caregivers
title The relationship of oral health literacy with oral health-related quality of life in a multi-racial sample of low-income female caregivers
title_full The relationship of oral health literacy with oral health-related quality of life in a multi-racial sample of low-income female caregivers
title_fullStr The relationship of oral health literacy with oral health-related quality of life in a multi-racial sample of low-income female caregivers
title_full_unstemmed The relationship of oral health literacy with oral health-related quality of life in a multi-racial sample of low-income female caregivers
title_short The relationship of oral health literacy with oral health-related quality of life in a multi-racial sample of low-income female caregivers
title_sort relationship of oral health literacy with oral health-related quality of life in a multi-racial sample of low-income female caregivers
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3248838/
https://www.ncbi.nlm.nih.gov/pubmed/22132898
http://dx.doi.org/10.1186/1477-7525-9-108
work_keys_str_mv AT divariskimon therelationshipoforalhealthliteracywithoralhealthrelatedqualityoflifeinamultiracialsampleoflowincomefemalecaregivers
AT leejessicay therelationshipoforalhealthliteracywithoralhealthrelatedqualityoflifeinamultiracialsampleoflowincomefemalecaregivers
AT bakeradiane therelationshipoforalhealthliteracywithoralhealthrelatedqualityoflifeinamultiracialsampleoflowincomefemalecaregivers
AT vannwilliamf therelationshipoforalhealthliteracywithoralhealthrelatedqualityoflifeinamultiracialsampleoflowincomefemalecaregivers
AT divariskimon relationshipoforalhealthliteracywithoralhealthrelatedqualityoflifeinamultiracialsampleoflowincomefemalecaregivers
AT leejessicay relationshipoforalhealthliteracywithoralhealthrelatedqualityoflifeinamultiracialsampleoflowincomefemalecaregivers
AT bakeradiane relationshipoforalhealthliteracywithoralhealthrelatedqualityoflifeinamultiracialsampleoflowincomefemalecaregivers
AT vannwilliamf relationshipoforalhealthliteracywithoralhealthrelatedqualityoflifeinamultiracialsampleoflowincomefemalecaregivers